IEEE

Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization

Abstract: The goal of single domain generalization is to use data from a single domain (source domain) to train a model, which is then deployed over several unknown domains for testing (target domains ...
Scientific Research Publishing

Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies ()

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.
BBC

Six graphics that explain climate change

A breakthrough deal to attempt to limit global temperature rises was agreed at a conference of world nations in December 2015. These charts from the time show how and why the Earth’s climate is ...
IEEE

Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization

Abstract: Graph Neural Networks (GNNs) have demonstrated impressive success across diverse fields when data satisfies in-distribution (ID) assumption. Nevertheless, GNN performance significantly ...
GitHub

Tutorial: BioKG meet LLM

This is the repository for the tutorial Biomedical Knowledge Graphs meet LLM. See the link here This tutorial focuses on the complementary nature of Biomedical Knowledge Graphs (KGs) and Large ...
GitHub

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

pip install torch_geometric pip install pyg_lib torch_scatter torch_sparse torch_cluster torch_spline_conv \ -f https://data.pyg.org/whl/torch-2.6.0+cu124.html ...